A hybrid DEA-MOLP model for public school assessment and closure decision in the City of Philadelphia

Data envelopment analysis (DEA) is generally used to evaluate past performance and multi objective linear programming (MOLP) is often used to plan for future performance goals. In this study, we establish an equivalence relationship between MOLP problems and combined-oriented DEA models using a dire...

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Veröffentlicht in:Socio-economic planning sciences Jg. 61; S. 70 - 89
Hauptverfasser: Tavana, Madjid, Ebrahimnejad, Ali, Santos-Arteaga, Francisco J., Mansourzadeh, Seyed Mehdi, Matin, Reza Kazemi
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Oxford Elsevier Ltd 01.03.2018
Elsevier Science Ltd
Schlagworte:
Academic achievement
Case studies
Closure
Correlation analysis
Data analysis
Data envelopment analysis
Decision makers
Decision making
Efficacy
Interactive process
Linear programming
Multi objective linear programming
Past performance
Performance evaluation
Preferences
Public schools
Secondary schools
Studies
Target unit
Uncontrollable variables
Undesirable inputs and outputs
United States > US
Philadelphia Pennsylvania
Target unit
Undesirable inputs and outputs
Interactive process
Multi objective linear programming
Data envelopment analysis
Uncontrollable variables
ISSN:0038-0121, 1873-6041
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Zusammenfassung:Data envelopment analysis (DEA) is generally used to evaluate past performance and multi objective linear programming (MOLP) is often used to plan for future performance goals. In this study, we establish an equivalence relationship between MOLP problems and combined-oriented DEA models using a direction distance function designed to account for desirable and undesirable inputs and outputs together with uncontrollable variables. This equivalence model can be effectively used to support interactive processes and performance measures designed to establish future performance goals while taking into account the preferences of decision makers (DMs). In particular, it allows DMs to consider different efficiency improvement strategies when subject to budgetary restrictions. The applicability of the proposed method and the efficacy of the procedures and algorithms are demonstrated using a case study where the performance of high schools in the City of Philadelphia is evaluated. •We define an equivalence relationship between MOLP and combined-oriented DEA models.•A direction distance function accounts for desirable, undesirable and uncontrollable factors.•Our model supports performance measures while taking into account the preferences of DMs.•DMs can modify the efficiency improvement strategies when subject to budgetary restrictions.•We use the model to evaluate the performance of high schools in the City of Philadelphia.
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ISSN:0038-0121
1873-6041
DOI:10.1016/j.seps.2016.09.003